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Xinchao Wang
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Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, et al.
Computer Vision and Pattern Recognition (CVPR), NTIRE Workshop, 2017
16822017
Metaformer is actually what you need for vision
W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan
Computer Vision and Pattern Recognition (CVPR), 2022
7032022
Horizontal pyramid matching for person re-identification
Y Fu, Y Wei, Y Zhou, H Shi, H Gao, X Wang, Z Yao, T Huang
AAAI Conference on Artificial Intelligence (AAAI), 2019
4862019
Wide activation for efficient and accurate image super-resolution
J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang
arXiv preprint arXiv:1808.08718, 2018
4782018
On Compressing Deep Models by Low Rank and Sparse Decomposition
X Yu, T Liu, X Wang, D Tao
Computer Vision and Pattern Recognition (CVPR), 2017
4712017
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool, et al.
Computer Vision and Pattern Recognition (CVPR), NTIRE Workshop, 2018
3502018
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, X Wang, TS Huang
IEEE Transactions on Image Processing (TIP), 2018
324*2018
Predicting people’s 3d poses from short sequences
B Tekin, X Sun, X Wang, V Lepetit, P Fua
arXiv preprint arXiv: 1504.08200, 2015
283*2015
Distilling Knowledge From Graph Convolutional Networks
Y Yang, J Qiu, M Song, D Tao, X Wang
Computer Vision and Pattern Recognition (CVPR), 2020
2372020
One-pass multi-task networks with cross-task guided attention for brain tumor segmentation
C Zhou, C Ding, X Wang, Z Lu, D Tao
IEEE Transactions on Image Processing (TIP), 2020
2012020
Shunted Self-Attention via Multi-Scale Token Aggregation
S Ren, D Zhou, S He, J Feng, X Wang
Computer Vision and Pattern Recognition (CVPR), 2022
1912022
Dynamic Instance Normalization for Arbitrary Style Transfer
Y Jing, X Liu, Y Ding, X Wang, E Ding, M Song, S Wen
AAAI Conference on Artificial Intelligence (AAAI), 2020
1712020
DepGraph: Towards Any Structural Pruning
G Fang, X Ma, M Song, MB Mi, X Wang
Computer Vision and Pattern Recognition (CVPR), 2023
1522023
Mm-vet: Evaluating large multimodal models for integrated capabilities
W Yu, Z Yang, L Li, J Wang, K Lin, Z Liu, X Wang, L Wang
International Conference on Machine Learning (ICML), 2024
1492024
CAFE: Learning to Condense Dataset by Aligning Features
K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ...
Computer Vision and Pattern Recognition (CVPR), 2022
1462022
Factorizable Graph Convolutional Networks
Y Yang, Z Feng, M Song, X Wang
Neural Information Processing Systems (NeurIPS), 2020
1442020
LLM-Pruner: On the Structural Pruning of Large Language Models
X Ma, G Fang, X Wang
Neural Information Processing Systems (NeurIPS), 2023
1412023
Data-free adversarial distillation
G Fang, J Song, C Shen, X Wang, D Chen, M Song
arXiv preprint arXiv:1912.11006, 2019
1412019
Inception Transformer
C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan
Neural Information Processing Systems (NeurIPS), 2022
1402022
Tracking interacting objects using intertwined flows
X Wang, E Türetken, F Fleuret, P Fua
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
1372016
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